The anthelmintic praziquantel (PZQ) has been used for decades as the clinical therapy for schistosomiasis, and remains the only available drug. As a cheap and effective drug therapy for all human disease-causing Schistosoma species, usage of PZQ underpins mass drug administration strategies aimed at eliminating schistosomiasis as a public health problem by 2030. Concern over the potential emergence of resistance to PZQ is therefore warranted, as it would constitute a major threat to this approach. In terms of molecular adaptations conferring PZQ resistance, variation in the sequence and/or expression of the drug target is an obvious mechanism and should be a priority for surveillance efforts. The target of PZQ is a transient receptor potential ion channel, TRPMPZQ, which is established as a locus that regulates schistosome sensitivity to PZQ. Here, we describe the establishment of a community resource, 'TRPtracker', which coalesces data on TRPMPZQ natural variants together with measurements of individual TRPMPZQ variant sensitivity to PZQ assessed by profiling TRPMPZQ in a heterologous expression system. A compendium of laboratory-generated mutants in TRPMPZQ is also compiled in the TRPtracker database to delimit regions within TRPMPZQ that are critical for PZQ sensitivity. Aggregation of data from multiple research groups into TRPtracker catalogues which TRPMPZQ variants have been functionally profiled, where geographically these variants have been found, their frequency within populations, and their potential impact on PZQ sensitivity. The overall goal is to facilitate rapid community-wide exchange of data to monitor predicted variants of concern that are likely to be associated with decreased PZQ efficacy.
Parasitic helminths impose substantial health and economic burdens on humans and livestock, and widespread resistance to existing anthelmintic classes underscores the urgent need for new chemotypes with distinct mechanisms of action as part of integrated parasite control strategies. Here, we performed a large-scale phenotypic screen of the Medicines for Malaria Venture Hit Generation Library 1 (HGL1), testing 139,916 compounds (98.7% of the 141,786-compound library) against exsheathed third-stage larvae of Haemonchus contortus, with selective cross-species evaluation in Caenorhabditis elegans. Using infrared-based motility and developmental assays in 384-well format, the platform delivered excellent performance across > 360 plates (mean Z' = 0.799 ± 0.012; signal-to-background = 65.6 ± 9.8). We identified 272 primary hits (0.194%) and confirmed 110 active compounds with reproducible inhibition of larval motility and development. Of these, 39 exhibited IC50 < 10 μM and 33 caused complete developmental arrest at ≤ 12.5 μM, accompanied by characteristic phenotypes such as eviscerated, curved and coiled forms. Four of the 39 compounds were non-toxic to HepG2 cells (CC50 ≥ 20 μM; MC50 ≥ 20 μM), and a subset displayed favourable physicochemical properties (logD < 3; polar surface area < 100 Å2; metabolic stability > 60%), with ADME (absorption, distribution, metabolism and excretion) profiling available for a prioritised subset. Integration of potency, selectivity and/or ADME data enabled the prioritisation of candidates, including 16 that met stringent criteria for medicinal-chemistry progression. These findings demonstrate that a chemically curated library originally developed for antimalarial discovery might yield potent, selective nematocidal scaffolds and support a scalable framework for repurposing discovery libraries across divergent parasite groups.

